Tianmouc dataset

The 'Fig3_tianmouc_test_data.tar.gz" is the two data used in characterization of Tianmouc, including the lightning capture and robustness to flicker. The "Fig4_tianmouc_evaluation_data.tar.gz" is the data used in autonomous driving demo. The reader can use our published code to read and visualize the data. Please find the code for reading the data at https://github.com/Tianmouc/N_pub_code or doi.org/10.5281/zenodo.10775253 ------------------------------------------- update on 2024.3.18 We apologize for our oversight, here are some changes to the "algorithm_sum.xlsx". The index referring to Figure 4 in the first column "Sample" should be Fig 4a alignment->Fig 4b Flash->Fig 4c Tunnel->Fig 4d OOD->Fig 4e Night; The results of "Fig 4b Flash" is modified to the following table: Fig 4b Flash 13.86s, evaluation gap:0.33s, 42 COP and 1050 AOP AOP 0.458 0.275 0.372 0.212 COP 0.784 0.143 0.416 0.305 CVP 0.711 0.214 0.418 0.241`Fig3_tianmouc_test_data.tar.gz` 为用于表征Tianmouc的两组数据集，涵盖闪电捕捉与抗闪烁鲁棒性相关数据。 `Fig4_tianmouc_evaluation_data.tar.gz` 为用于自动驾驶演示实验的数据集。 研究人员可通过我们公开的代码读取并可视化该数据集。 数据读取代码可访问以下链接获取：https://github.com/Tianmouc/N_pub_code 或 doi.org/10.5281/zenodo.10775253 ------------------------------------------- 2024年3月18日更新 因工作疏漏向各位致歉，现就`algorithm_sum.xlsx`作出如下修正： 原第一列"Sample"中指向图4的索引应调整为：图4a 对齐 → 图4b 闪光 → 图4c 隧道 → 图4d 分布外（OOD） → 图4e 夜间； "图4b 闪光"的实验结果已修正为如下表格： 图4b 闪光 13.86秒，评估间隙：0.33秒，42个COP与1050个AOP AOP 0.458 0.275 0.372 0.212 COP 0.784 0.143 0.416 0.305 CVP 0.711 0.214 0.418 0.241